BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Aerospike | January 23, 2023
Aerospike, Inc., the leader in real-time data platforms, has launched Aerospike Connect for Elasticsearch. The new connection allows developers and data architects to use Elasticsearch, a prominent open-source search and analytics tool, to do rapid full-text searches on real-time data stored in Aerospike Database 6.
Aerospike Connect for Elasticsearch contributes to the company's 2023 goal of delivering complete search and analytics capabilities for the Aerospike Database. Using Elasticsearch, the new connection provides quick full-text searches on Aerospike Database 6 data. Additionally, it complements the recently announced Aerospike SQL powered by Starburst product, which enables users to execute large-scale SQL analytics queries on Aerospike Database 6 data.
Aerospike users now have various options to choose from to fuel their search and analytics use cases, thanks to the company's extensive list of capabilities, which now includes the newly announced JSONPath Query support in Aerospike Database 6.
Full-Text-Search for Real-time Data Use Cases
Using Aerospike Connect for Elasticsearch, developers and data architects can swiftly integrate Aerospike's high-performance, scalable, NoSQL database with Elasticsearch to allow a variety of full-text search-based use cases, such as:
Customer Support: enhanced self-service and minimized service delivery expenses.
E-commerce: enhanced client experience that increases the shopping cart size.
Website Experience: Rapid resource availability and enhanced site conversions.
Federal: Mission-critical real-time applications will be more effectively maintained in smart cities.
Workplace Applications: search across different productivity tools in one place.
Growing Portfolio of Enterprise Integrations
Aerospike Connect for Elasticsearch is expanding the Aerospike Connect product line's list of connectors for enterprise data pipelines. In addition, Aerospike clients now have additional options for integrating Aerospike's high performance and scalability into their current data pipelines as a result of the success of multiple customers utilizing connectors for Pulsar, Kafka, Spark, and Presto-Trino.
Aerospike's real-time data platform allows businesses to respond quickly across billions of transactions while decreasing their server footprint by up to 80%. The multi-cloud platform enables real-time applications with predictable sub-millisecond speed up to petabyte size, with 99.999% uptime and globally distributed, highly consistent data.
Applications built on the real-time data platform combat fraud, provide suggestions that significantly boost shopping cart size, facilitate worldwide digital payments, and give hyper-personalized user experiences to tens of millions of consumers. Customers, including Airtel, the European Central Bank, Experian, Nielsen, Snap, PayPal, Verizon Media, and Wayfair, depend on Aerospike as their future data basis. Aerospike is headquartered in Mountain View, California, and has offices in London, Tel Aviv, and Bangalore.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE
Couchbase | January 19, 2023
On January 18, 2023, Couchbase, Inc., a cloud database platform company, announced the availability of Couchbase Capella™ Database-as-a-Service (DBaaS) on Azure. As a result, customers of Couchbase will be able to take the benefits of the trusted Azure cloud platform with smooth deployment and management.
Capella on Azure enables clients to enhance application alignment and support hybrid and multi-cloud strategies on a single platform. In addition, it delivers the best price-to-performance ratio among DBaaS providers.
General Manager of Microsoft Azure at Microsoft Corp, Jake Zborowski, said, "With Capella on Microsoft Azure, customers around the world can easily deploy premium-experience modern applications to run on the trusted Azure platform." He also stated, "We're happy to welcome Couchbase Capella to the growing Azure ecosystem."
(Source – Cision PR Newswire)
Capella is an entirely managed DBaaS that offloads database operations. As a result, it drastically reduces the total cost of ownership, provides developers with database flexibility, and allows performance at scale for creating modern applications. In addition, the familiarity with SQL++ as the query language and the new user interface of Capella, which was influenced by popular developer-centric tools such as GitHub, reduces the learning curve for developers and other users across companies, resulting in better agility and productivity.
Couchbase Capella’s client advantages include:
Mobile and IoT app synchronization
High availability and automated scaling
Cost efficiency at scale
Senior VP of Product Management and Business Operations at Couchbase, Scott Anderson, said, "We are investing heavily in making Capella more accessible than ever before to give developers and organizations a cloud database platform to power their most mission-critical applications." He added, "Providing flexibility to go across cloud service providers is a huge advantage in today's multi- and hybrid-cloud world. By extending Capella to Azure, we can better support our customers as they deploy innovative applications on the cloud of their choice."
(Source – Cision PR Newswire)
Couchbase, Inc. is an American public software firm that develops and offers commercial packages and support for Couchbase Server and Couchbase Lite, which are both open-source, NoSQL, multi-model, document-oriented database software packages that store JSON documents or a key-value database. The company's objective is to make it easier for developers and architects to create, deploy, and use modern apps in any location. It has redesigned the database with its fast, flexible, and cost-effective cloud database platform, Capella, enabling enterprises to develop apps that offer superior customer experiences rapidly. Over 30 percent of Fortune 100 rely on Couchbase to power their modern apps.
BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE
Arize AI | January 24, 2023
On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability.
Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes.
The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis.
Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following:
Financial savings can be substantial as compared to alternative techniques of ML monitoring.
Teams can run off of an SSOT
Integration and onboarding are accelerated and simplified
Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring.
About Arize AI
Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.